Kevin Arrow covered AI data privacy, copyright, bias and brand risk at the Zenler AI Summit 2026. Watch the full session with 60-day free Zenler trial
Most of the Zenler AI Summit 2026 was about what AI can do for you. Kevin Arrow's session was about what it can do to you if you're not paying attention.
Kevin is a marketer with deep online experience who has been working with AI since well before most people had heard of ChatGPT. He was also part of the summit's bonus session alongside David Newton — a five-hour hands-on practical workshop available in the replays.
His main session covered the AI risks most course creators genuinely haven't thought about properly — data privacy, accuracy, copyright, bias and reputation — and gave a practical framework for protecting your business against all of them.
This isn't legal advice. It's common sense guidance from someone who has seen what happens when AI is used carelessly. One of the sessions most worth watching with a notepad.
Kevin's core message is captured in one distinction: using AI deliberately versus using it casually.
Most people open an AI tool and start typing without thinking about what they're sharing, where it goes, who might access it, or whether the output is accurate enough to act on. That casual relationship with AI is where the risk concentrates.
The framework he shared for shifting from casual to deliberate AI use is practical, specific and immediately applicable.
Kevin structured his session around five distinct risk categories that affect course creators specifically.
Data and privacy — what happens to information you put into public AI tools, and why student data requires particular care.
Accuracy — why AI outputs with complete confidence regardless of whether it's correct, and which categories of decisions this makes genuinely dangerous.
Copyright and intellectual property — an area still evolving legally where the responsibility sits clearly with the user, not the tool.
Bias and discrimination — how AI can reproduce unfair assumptions in decisions that affect real people.
Reputation risk — the specific ways AI use can damage the trust you've built with your audience, and how hard that trust is to rebuild once it's gone.
The full detail on each area — with practical guidance — is in the replay.
Kevin distilled everything into three rules that are easy to remember and genuinely useful in practice.
He also walked through the structure of a simple AI policy — the kind any small course business can put in place without needing legal help. If you have team members, contractors or a VA using AI on your behalf, this is the section of his session that matters most.
The three rules, the policy framework and the practical checklist of common mistakes are all in the full session.
Kevin co-hosted a five-hour hands-on practical workshop with David Newton. Because, as he put it, summits are great but actually doing things is better. Both parts of the workshop are included in the replay access.
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What are the main AI risks Kevin covered?
Data and privacy, accuracy, copyright and IP, bias and discrimination, and reputation risk — each one specific to how course creators use AI tools. Full detail is in the replay.
Do I need to be a lawyer to understand this session?
No. Kevin was clear this isn't legal advice — it's practical guidance for small business owners using AI in their day-to-day work.
What is an AI policy and do I need one?
A document defining how AI is used in your business — which tools are approved, what data can be shared, which decisions require human oversight, what gets disclosed. Kevin covers exactly how to structure one in the session.
What is the five-hour bonus workshop?
Kevin Arrow and David Newton ran a live hands-on practical workshop. Both parts are in the replay and included with your 60-day free trial.
How does this relate to Padmini Soni's session?
Both cover responsible AI use but from different angles. Padmini takes a strategic and ethical perspective; Kevin takes a practical risk-management perspective. Together they give you a complete picture.
Zenler AI Summit 2026 — All Speakers →
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Joel Erway — Fast Ad Creation and the Power Offer →
David Newton — Building AI Systems That Work →
Rakesh Vallil — Built-In AI Agents Inside Zenler →
Mike Samuels — Authentic AI Sales Copy →
Gemma Went — Scale Your Membership With AI →
Padmini Soni — Stop Doing AI from Zero →
Stephany Oliveros — Human-Centred AI Agents and Workflows →
Allie Miriam — AI Workflow With Human →
Billy Wigley — AI Business Growth and the Spark Framework →
Amit Arora — AI for Creators Build →
Ashley Leeds — Using AI on LinkedIn →
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Categories: : AI for Course Creators, Future of AI for Course Creators Summit 2026
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